Bringing Comparative Cognition To Computers
This work proposes a framework for researchers in AI and cognitive science to improve cross-disciplinary comparisons, though it is incremental as it builds on existing psychological testing methods.
The paper addresses the challenge of accurately comparing AI cognitive capacities with humans and animals by advocating for a comparative approach, aiming to integrate AI research into cognitive sciences without over- or under-stating similarities and differences.
Researchers are increasingly subjecting artificial intelligence systems to psychological testing. But to rigorously compare their cognitive capacities with humans and other animals, we must avoid both over- and under-stating our similarities and differences. By embracing a comparative approach, we can integrate AI cognition research into the broader cognitive sciences.